{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pre-Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install the following libraries\n",
    "# pandas\n",
    "# librosa\n",
    "# pysoundfile\n",
    "# numpy\n",
    "# IPython\n",
    "# matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "\n",
    "import numpy as np\n",
    "import soundfile as sf \n",
    "from IPython.display import Audio\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import librosa\n",
    "import librosa.display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reading labels from\n",
    "text = pd.read_csv('path/to/labels.txt', sep=\" \", header=None)\n",
    "# give apropreate coumn name to the labels\n",
    "test.columns = [\"-\", \"clip\", \"-\", \"-\", \"label\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dir_path = 'path/to/audio/files/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Verify the audios are present in the corresponding folder\n",
    "\n",
    "# path to first audio in the folder\n",
    "sample_audio = dir_path+text[\"clip\"][0]+\".flac\"\n",
    "# reading the audio file\n",
    "clip, sample_rate = sf.read(sample_audio)\n",
    "# play audio\n",
    "Audio(clip, rate = sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function  to generate spectrogram and to seperate bonafide and spoofed audios \n",
    "#from the dataset according to their label\n",
    "def save_spectogram(file_name,label):\n",
    "    clip, sample_rate = sf.read(dir_path+\"/\"+file_name)\n",
    "    file_name = file_name.split('/')[1]\n",
    "    fig = plt.figure(figsize=[0.72,0.72])\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.axes.get_xaxis().set_visible(False)\n",
    "    ax.axes.get_yaxis().set_visible(False)\n",
    "    ax.set_frame_on(False)\n",
    "    S = librosa.feature.melspectrogram(y=clip, sr=sample_rate)\n",
    "    librosa.display.specshow(librosa.power_to_db(S, ref=np.max))\n",
    "    filename  = \"path/to/audio/spectrograms/\"+label+\"/\"+file_name.replace('.flac','.png')\n",
    "    plt.savefig(filename, dpi=400, bbox_inches='tight',pad_inches=0)\n",
    "    plt.close('all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generating spectrograms and seperating spectrogrms according to label\n",
    "\n",
    "for file in range(len(test[\"clip\"])):\n",
    "    save_spectogram(test[\"clip\"][file],test[\"label\"][file])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import librosa\n",
    "import librosa.display\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "y, sr = librosa.load('LA_T_1000137.flac')\n",
    "S = librosa.feature.melspectrogram(y=y, sr=sr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 4))\n",
    "librosa.display.specshow(librosa.power_to_db(S, ref=np.max), y_axis='mel', fmax=8000, x_axis='time')\n",
    "plt.colorbar(format='%+2.0f dB')\n",
    "#plt.title('Mel spectrogram')\n",
    "plt.savefig('melspectrogram', dpi=400, bbox_inches='tight',pad_inches=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.close('all')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
